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In numerical analysis and scientific computing, a sparse matrix or sparse array is a matrix in which most of the elements are zero. There is no strict definition regarding the proportion of zero-value elements for a matrix to qualify as sparse but a common criterion is that the number of non-zero elements is roughly equal to the number of rows or…
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matrix sparse row format index matrices column elements number non-zero array entries large algorithms csr memory bandwidth col example data
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| network theory | instance of | The concept of sparsity is useful in combinatorics and application areas | 0.80 | text |
| numerical analysis | instance of | The concept of sparsity is useful in combinatorics and application areas | 0.80 | text |
| which typically have a low density of significant data or connections | instance of | The concept of sparsity is useful in combinatorics and application areas | 0.80 | text |
| Sparse matrix | related to Banded | The | 0.60 | section |
| Sparse matrix | related to Banded | Formally | 0.60 | section |
| Sparse matrix | related to Banded | Similarly | 0.60 | section |
| Sparse matrix | related to Banded | Golub | 0.60 | section |
| Sparse matrix | related to Banded | Van Loan | 0.60 | section |
| Sparse matrix | related to Banded | For | 0.60 | section |
| Sparse matrix | related to Banded | As | 0.60 | section |
| Sparse matrix | related to Banded | Notice | 0.60 | section |
| Sparse matrix | related to Compressed sparse column (CSC or CCS) | CSC | 0.60 | section |
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